Triple
T30417869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jersey Shore music scene |
E773808
|
entity |
| Predicate | typicalBandFeatures |
—
|
GENERATED |
| Object | horn sections |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBandFeatures Context triple: [Jersey Shore music scene, typicalBandFeatures, horn sections]
-
A.
featuresFictionalBand
Indicates that something (such as a work or event) includes or presents a fictional band as part of its content or narrative.
-
B.
typicalLeadInstrument
Indicates that an instrument is commonly used as the primary or lead instrument in a given musical context or performance.
-
C.
featuresRhythm
Indicates that something includes, exhibits, or is characterized by a particular rhythmic pattern or structure.
-
D.
featuresRichHarmonies
Indicates that the subject contains or employs complex, layered, and sonically dense harmonic structures.
-
E.
notableInstrumentFeature
chosen
Indicates that an instrument is distinguished by a particular characteristic, quality, or component that is especially noteworthy or defining.
- F. None of above.
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f22490b8b48190ab10c886a8d58c89 |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 8:05 p.m.